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An active learning approach for radial basis function neural networks

This paper presents a new Active Learning algorithm to train Radial Basis Function (RBF) Artificial Neural Networks (ANN) for model reduction problems. The new approach is based on the assumption that the unobserved training data y at input x, lies within a set F x y f x y f x ( ) : ( ) ( ) = ! ! &q...

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書目詳細資料
Main Authors:	Abdullah, S. S., Allwright, J. C.
格式:	Article
語言:	English
出版:	Penerbit UTM Press 2006
主題:	TK Electrical engineering. Electronics Nuclear engineering
在線閱讀:	http://eprints.utm.my/id/eprint/4112/1/JTD_2005_29.pdf http://eprints.utm.my/id/eprint/4112/ http://www.penerbit.utm.my/onlinejournal/45/D/JTDis45D05.pdf
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